Background and Objective: Natural grass is a basic forage for dairy cattle in Bogor Regency and Municipality of Indonesia. Its quality variation might influence dairy cattle performance. Therefore rapid detection is needed to be able to adjust with other ration ingredients. This study aims to compare natural grass quality between 4 districts in Bogor and develop an accurate local Near-Infrared Reflectance Spectroscopy (NIRS) database. Materials and Methods: About 4 kg of each 100 natural grass samples from 10 villages belonging to 4 districts have been collected, dried and ground. Proximate analysis (Dry Matter (DM), ash, Crude Protein (CP), Ether Extract (EE), Crude Fibre (CF)), van Soest analysis (neutral and acid detergent fibre (NDF and ADF)), in vitro digestibility (DM, OM, NDF and ADF digestibility), energy partition (gross, digestible, metabolizable and net energy for lactation (GE, DE, ME and NEL)) and forage value for dairy cattle (UFL and RFV) have been calculated. The NIRS spectrum has been collected, calibrated, validated internally and externally. Results: The results show that natural grass varied greatly, especially DM, CP, NDF, ADFD, GE and RFV values. The natural grass quality from the Bogor Barat district was higher than in other districts. The NIRS detected natural quality accurately (R2>0.5, RPD>1.5, SEP/SEL<1) except for CP and NDFD. Conclusion: It is concluded that the high variation of natural grass quality in Bogor can be detected rapidly using a pre-calibrated FT-NIRS database. PDFFulltextXMLReferencesCitation
How to cite this article
Despal, L.J. Andini, E. Nugraha and R. Zahera, 2021. Regional Variation Accuracy Detection of Natural Grass Multi-Species as Dairy Cattle Forage using FT-NIRS. International Journal of Dairy Science, 16: 153-160.